Vetting a crypto KOL means answering three separate questions, and no single tool answers all three. Are the followers real, are they crypto-native, and does the account actually reach anyone. Fake and bot followers account for roughly 56.5% of reported influencer fraud, and estimates put 10% or more of the followers of top crypto accounts in that category, so the first question is not optional.
We screen every account entering our roster through Wallchain, Sorsa and TwitterScore before any budget is committed. What follows is what each one is for, and one number from our own network that contradicts the published benchmarks.
What does each vetting tool measure?
| Tool | What it answers | Blind spot |
|---|---|---|
| Sorsa (formerly TweetScout) | Who follows this account, weighted by influential crypto and VC-linked accounts, plus an estimate of the automated share | Measures the follower graph, not whether anyone acts on a post |
| Wallchain | Whether the audience actually holds and transacts on chain | Says nothing about reach or engagement quality |
| TwitterScore | A proprietary authority score for the account | Closed methodology, so it works as a cross-check rather than as evidence |
The three overlap less than they appear to. An account can pass Sorsa with a clean follower graph, fail Wallchain because its audience never transacts, and still carry a respectable TwitterScore. That combination describes a genuine media personality whose audience will not buy a token, which is a perfectly good account for the wrong brief.
How do you read a bot-detection result?
Sorsa publishes its flagging methodology, which is the reason to trust the output more than a bare score. It weighs account age, follower-to-following ratio, tweet and like counts, whether an avatar exists, bio completeness and username patterns, and the guidance is to treat three or more triggered signals as a flag rather than reacting to any single one.
That threshold matters. A new account with a default avatar is not evidence of anything on its own, and rejecting on one signal will remove real people while leaving sophisticated farms in place.
The engagement benchmark most sources publish is too high
Published guidance commonly puts an authentic crypto KOL between 2% and 8% engagement, with fraudulent accounts struggling to pass 0.5%. Our own measured network does not sit in that band. Across 87 vetted accounts totalling 9.6M reach, all of which passed the three screens above, the average engagement rate is 1.70%, with an average of 110,106 followers producing 11,669 views per post.
The gap is worth understanding rather than explaining away. A vetted account delivering views to roughly a tenth of its follower count at under 2% engagement is normal in this category, and a media kit claiming 6% should raise a question rather than confidence. Either the account is measuring engagement against a different denominator, or the engagement is not what it appears to be.
A practical order of operations
- Run bot detection first. It is the cheapest screen and it removes the worst candidates before you spend time on them.
- Check audience composition second. An audience that does not transact on chain cannot convert for a token, whatever its size.
- Compare views to followers, not engagement to followers. The ratio between the two is the fastest tell, and roughly a tenth is the realistic figure to expect.
- Ask for screenshots of the last five posts, not the best five. Selection is where most media kits do their work.
- Price on delivered views. Paying against follower count is paying for the number the account controls rather than the one it earns.
Frequently Asked Questions
What is a normal engagement rate for a crypto KOL?
Lower than most published guidance suggests. Sources commonly quote 2% to 8%, but across our own network of 87 vetted accounts the average is 1.70%. Treat a claimed rate above 5% as something to verify rather than a selling point.
Is Sorsa the same as TweetScout?
Yes. Sorsa is the former TweetScout, and it scores an account by the influence of the accounts following it while estimating what share of the followers look automated.
How many followers of a crypto account are typically fake?
Estimates put 10% or more of the followers of top crypto accounts in that category, and fake or bot followers account for around 56.5% of reported influencer fraud overall.
Can one tool replace the rest?
No, because they answer different questions. Sorsa reads the follower graph, Wallchain reads on-chain behaviour, and TwitterScore provides an independent authority cross-check. An account can pass one and fail another for legitimate reasons.